Program Schedule

2023 Program Schedule

Virtual Day 1

Monday, May 8

12:00 - 12:10 PM

Introduction

Review day's agenda

12:10 - 12:40 PM

Review of Questions

Q&A · Danny will field questions submitted ahead of time

12:40 - 1:10 PM
V1

Writing a Grant Application that Includes a SMART Design

Presented by Daniel Almirall, PhD

Review the sections of a grant that proposes a SMART

Recommendations for each section

1:10 - 1:55 PM
V1
Writing a Grant Application that Includes a SMART Design

Discussion

Group Discussion and Q&A

IES Program Officer Round Table

1:55 - 2:10 PM

Break

15 Minute Break

2:10 - 2:25 PM
V2

Primary Aims Analytics

Presented by Jamie Yap

Review key concepts from Module 4 and Module 5

2:25 - 3:25 PM
V2
Primary Aims Analytics

Analytics Follow-Along

Interactive walk through of annotated code in R to conduct primary aim analytics using data from a SMART.

You will not need R installed on your computer to participate in this Follow-Along.

3:25 - 3:45 PM
V2
Primary Aims Analytics

Brief Code-Along

Live demonstration of primary aim analytics in R

Opportunity to run your own R code (optional). To participate, install R.

3:45 - 3:55 PM

Wrap-Up

Closing slides

Day 1 evaluation

Virtual Day 2

Tuesday, May 9

12:00 - 12:10 PM

Introduction

Review day's agenda

12:10 - 12:20 PM

Review of Questions

Q&A · Review of questions from day 1

12:20 - 12:35 PM
V3

Secondary Aim Analytics

Presented by Mason Ferlic

Review key concepts from Module 7 [M7].

12:35 - 1:35 PM
V3
Secondary Aim Analytics

Analytics Follow-Along

Interactive walk through of annotated code in R to conduct secondary aim analytics using data from a SMART.

You will not need R software installed on your computer to participate in this Follow-Along.

1:35 - 1:55 PM
V3
Secondary Aim Analytics

Brief Code-Along

Live demonstration of secondary aim analytics in R

Opportunity to run your own R code (optional). To participate, install R.

1:55 - 2:10 PM

Break

15 Minute Break

2:10 - 2:40 PM
V4

Primary Aims Manuscript

Presented by Daniel Almirall, PhD

Review the sections of a manuscript that reports the results of the primary aim in a SMART

Recommendations for each section

2:40 - 3:25 PM
V4
Primary Aims Manuscript

Discussion

Group Discussion and Q&A

3:15 - 3:35 PM

Wrap-Up

Closing slides

CATIE next steps

Day 2 evaluation

DAY 1

Wednesday, March 15

8:30 - 9:00 AM

Register & Network

Registration, breakfast, and morning networking

9:00 - 9:30 AM

Introduction

Presented by Daniel Almirall, PhD

Welcome!

Ice Breaker: Catch!

Introduction from IES

Introduction to CATIE and d3c

Small group assignments

9:30 - 10:10 AM
M1

Adaptive Interventions: Introductory Review

Presented by Inbal Nahum-Shani, PhD

Defining adaptive interventions

Example adaptive intervention + components

Q&As about adaptive interventions

10:20 - 11:00 AM
M2

Sequential, Multiple Assignment, Randomized Trials: Introductory Review

Presented by Daniel Almirall, PhD

Example adaptive intervention

Define Sequential Multiple Assignment Randomized Trial [SMART]

Example SMART

Q&As about SMART

11:10 - 12:00 PM

Small Group Work 1

Workbook Activity 1 · 20 min

Report Out · 30 min

Scholars from group 1 volunteer to share their working research ideas related to adaptive interventions with the entire institute.

12:00 - 1:00 PM

Lunch

Software assistance hours in room 1430

1:00 - 1:50 PM
M3

SMART Case Studies

Presented by Ahnalee Brincks, PhD

Case study descriptions · 40 min

Q&A · 10 min

2:00-3:30

Small Group Work 2

Workbook Activity 2 · 30 min

Report Out · 60 min

Scholars from group 2 [30 min] and group 3 [30 min] volunteer to share their working research ideas related to adaptive interventions with the entire institute.

3:30 - 4:30 PM

SMART Case Study: SMART in ADHD

Presented by Dr. William Pelham

Introduced by d3c PhD student Madeline Abbott · 5 min

Principal Investigator Dr. William Pelham, FIU · 45 min

Q&A · 10 min

4:30 - 5:00 PM

Wrap-Up

Summarize learning from day 1

Review agenda for day 2

Day 1 evaluation

DAY 2

Thursday, March 16

8:30 - 9:00 AM

Breakfast & Network

9:00 - 9:20 AM

Introduction

Discuss day 2 agenda

Review questions or concerns with days 1-2 materials

9:20 - 10:30 AM
M4

Primary Aim Data Analyses, Part I

Presented by Daniel Almirall, PhD

Data analytics to address two typical primary research questions: What is the main effect of initial treatments? What is the main effect of second-stage tactics?

Prepare for a third primary aim analysis by estimating the mean outcome under each of the embedded adaptive interventions [separately] using weighted least squares.

10:40 - 11:40 AM

SMART Case Study: AIM-ASD SMART in Autism

Presented by Dr. Connie Kasari

Introduced by d3c PhD student Simon Nguyen · 5 min

Principal Investigator Dr. Connie Kasari, UCLA · 45 min

Q&A · 10 min

11:40 - 12:00 PM

d3c Poster Session

Poster session

Q&A

12:00 - 1:00 PM

Lunch

12:10 - 12:50 - 10-minute one-on-one sessions with Katherine Taylor, Education Research Analyst at IES in room 1440

1:00 - 2:00 PM
M5

Primary Aim Data Analyses, Part II

Presented by Daniel Almirall, PhD

Prepare, again, for a third primary aim analysis by estimating and comparing the mean outcome under two of the embedded adaptive interventions by using weighted least squares.

Use a single weighted-and-replicated least squares regression approach capable of addressing any/all three primary aims in a SMART.

2:10 - 3:40 PM

Small Group Work 3

Workbook Activity 3 · 30 min

Report Out · 60 min

Scholars from groups 4 [30 min] and group 5 [30 min] volunteer to share their working research ideas related to adaptive interventions with the entire institute.

3:45 - 4:45 PM
M6

Pilot Studies in SMARTs

Presented by Daniel Almirall, PhD

What is a pilot SMART?

What is the role of a pilot SMART in the process of optimizing an adaptive intervention?

How can data from a pilot SMART be analyzed to inform a large-scale SMART study?

4:45 - 5:00 PM

Wrap-Up

Summarize learning from day 2

Review agenda for day 3

Day 2 evaluation

DAY 3

Friday, March 17

8:30 - 9:00 AM

Breakfast & Network

9:00 - 9:10 AM

Introduction

Discuss day 3 agenda

Review questions or concerns with days 1-2 material

9:10 - 10:10 AM
M7

SMART Secondary Aim Data Analytics

Presented by Mason Ferlic

Secondary Aims about more deeply-tailored adaptive interventions

Baseline and time-varying moderators analysis

What is Q Learning: a data-analytic method for investigating additional ways to tailor an adaptive intervention

10:20 - 11:20 AM

SMART Case Study: LIFT - Leveraging autism Intervention for Families through Telehealth

Presented by Dr. Stephanie Shire

Introduced by d3c PhD student Hanna Venera · 5 min

Principal Investigator Stephanie Shire, University of Oregon · 45 min

Q&A · 10 min

11:25 - 12:15 PM

Small Group Work 4

Workbook Activity 4 · 20 min

Report Out · 30 min

Open floor. Scholars from all groups volunteer to share their working research ideas related to adaptive interventions with the entire institute.

12:15 - 1:15 PM

Lunch

Software assistance office hours in room 1430

1:15 - 2:15 PM
M8

Clustered SMARTs

Presented by Tim Lycurgus, PhD

What is a clustered adaptive intervention?

What is a clustered SMART and when is it useful?

How to design and conduct a clustered SMART

2:20 - 3:20 PM

Small Group Work 5

Workbook Activity 5 · 20 mins

Report Out · 40 min

Open floor. Scholars from all groups volunteer to share their working research ideas related to adaptive interventions with the entire institute.

3:30 - 4:30 PM

SMART Case Study: Pilot SMART for Adolescent Depression

Presented by Dr. Meredith Gunlicks-Stoessel

Introduced by d3c Post-Doctoral Fellow Qinggang Yu · 5 min

Principal Investigator Meredith Gunlicks-Stoessel, University of Minnesota · 45 min

4:30 - 5:00 PM

Wrap-Up

Closing slides

Final Q&A

Opportunities: Virtual Days, Follow-Up Video Conference, Survey to help us improve the training institute

Day 3 evaluation

Comprehensive Program for Adaptive Interventions Training in Education